The accomplishment of various genome
sequencing projects, the avalanche of high throughput "omic'' data, and the increasing
number of solved protein structures, have provided system-level measurements in
model organisms. The conversion of the wealthy heterogeneous data to our understanding
of the structure and dynamics of biological processes will only be possible by
developing effective data-integration methods. Our group's research aims at integrating
and mining "omic'' data to extract biological insights and to address fundamental
biological questions that would enhance our understanding of systems as a whole. This
will be accomplished by designing statistically rigorous and physically sound models
to integrate genome sequences, expression profiles, molecular interactions, and
protein structures etc.